Curated Video
Business Intelligence with Microsoft Power BI - with Material - Aggregation in a Table
This video explains how to perform aggregation in a table. This clip is from the chapter "Tables and Matrix in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section provides an introduction...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Optional Estimation: MAP
In this video, we will cover MAP.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Engineering: Feature Scaling
In this video, we will cover feature scaling. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Brian McLogan
Complete the square to identify the vertex, axis, domain and range of a quadratic equation
👉 Learn how to identify the vertex of a parabola by completing the square. A parabola is the shape of the graph of a quadratic equation. A quadratic equation can be written in the standard form (i.e. in the form y = ax^2 + bx + c) or it...
Brian McLogan
Master Graphing Sine with a Change in Amplitude
Master Graphing Sine with a Change in Amplitude
Curated Video
gRPC [Java] Master Class: Build Modern API and Microservices - [Solution] FindMaximum API
[Hands-On] gRPC Bi-Directional Streaming: [Solution] FindMaximum API This clip is from the chapter "[Hands-On] gRPC Bi-Directional Streaming" of the series "gRPC [Java] Master Class: Build Modern API and Microservices".In this section,...
Curated Video
Arduino for Beginners - 2022 Complete Course - Activity 13 - Solution
This video explains activity 13- solution. This clip is from the chapter "EEPROM- Save Values on the Arduino" of the series "Arduino for Beginners - 2022 Complete Course".This section explains how to save values on the Arduino.
Curated Video
Arduino for Beginners - 2022 Complete Course - Activity 13 - Save an LED Max Brightness for the Next Program Run
This video explains activity 13 - save an LED max brightness for the next program run. This clip is from the chapter "EEPROM- Save Values on the Arduino" of the series "Arduino for Beginners - 2022 Complete Course".This section explains...
Curated Video
Arduino for Beginners - 2022 Complete Course - Activity 02 - Solution
This video explains the solution to the activity. This clip is from the chapter "LEDs- Digital Pins as Output Pins" of the series "Arduino for Beginners - 2022 Complete Course".This section explains digital pins as output pins.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Why Derivatives Solution
This is a solution video on why derivatives. This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on gradient descent in CNNs.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - MaxPooling Exercise
This is an exercise video on MaxPooling. This clip is from the chapter "Deep Neural Network Architecture" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the deep neural network...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Implementation in NumPy BackwardPass 3
This is third of the five-part video on implementation in NumPy BackwardPass. This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Gray-Scale Images
This video talks about gray-scale images. This clip is from the chapter "Image Processing" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on image processing.
Curated Video
Python for Deep Learning - Build Neural Networks in Python - Pooling Layer
In this video, you will learn about Pooling layer. This clip is from the chapter "Convolutional Neural Networks (CNN)" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Implementing Q Learning - 2
This is the second of the three-part video that explains implementing Q-Learning. This clip is from the chapter "Naive Random Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Agent Class Implemented
This video explains about the implementation of the Agent class. This clip is from the chapter "Deep RL DQN" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on deep RL DQN.
Curated Video
Python In Practice - 15 Projects to Master Python - Tuple Operations and Tuple Built-In Functions
This video explains the tuple built-in functions, how to perform these functions, and basic operations with tuples. This clip is from the chapter "Tuples" of the series "Python in Practice - 15 Projects to Master Python".This section...
Curated Video
Python In Practice - 15 Projects to Master Python - Preparing the Data
This video explains preparing the data. This clip is from the chapter "Flavor Predictor" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the flavor predictor.
Curated Video
Python In Practice - 15 Projects to Master Python - Generating the Final Report
This video explains generating the final report. This clip is from the chapter "Data Science Project 1" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on data science project 1.
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 4
In this part, we will work on predict, accuracy, and neural network functions. This clip is from the chapter "Final Project" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this last section, we will be...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: PCA Max Variance Formulation
In this video, we will cover PCA Max Variance Formulation. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Continuous Random Variables: Gaussian Random Variables
In this video, we will cover Gaussian random variables. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Basics of Programming: Understanding the Algorithm
In this video, we will understand the algorithm. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Random Variables: Homework
In this video, we will cover Homework. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...